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Justicegaines03
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oracle

Bundle prompts with selected files and globs for AI model processing.

1|Updated Feb 21, 2026
Search Tags:#developer tools#prompt engineering#cli#ai#llm#code context
One-click install
npx skills add https://github.com/Justicegaines03/OpenClaw_NIST-AI-RMF_Compliance --skill oracle-justicegaines03
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: oracle
Source: https://github.com/Justicegaines03/OpenClaw_NIST-AI-RMF_Compliance/tree/main/skills/oracle
Command: npx skills add https://github.com/Justicegaines03/OpenClaw_NIST-AI-RMF_Compliance --skill oracle-justicegaines03

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill simplifies the process of providing relevant project context to AI models by bundling prompts with selected files, enabling more accurate and context-aware responses.

Core Features & Use Cases

  • Contextual Prompting: Bundles prompts with specific files or globs for AI processing.
  • Session Management: Supports long-running tasks with session reattachment and management.
  • Use Case: When debugging a complex issue in a large codebase, use Oracle to bundle your error message, relevant source files, and project setup instructions into a single request for an AI model to analyze and suggest a fix.

Quick Start

Use the oracle skill to preview the token count for a task using all files in the src directory.

Frequently Asked Questions about oracle

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I bundle source files with a prompt for AI model processing?▼

Bundling source files with a prompt for AI model processing requires defining specific file inclusion and exclusion patterns to package selected files and globs directly with your prompt for context-aware responses.

Can I preview token counts before sending a large codebase context to an LLM?▼

Yes, you can preview token counts by using the dry-run preview feature to analyze the payload size and token count before submitting the bundled prompt and code context to the AI model.

Does this tool support long-running AI tasks with session management?▼

Yes, it supports long-running AI tasks by offering session management, allowing you to detach and reattach to ongoing sessions for continuous code context processing.

How do I provide relevant project context to an AI when debugging a complex issue?▼

To provide project context when debugging, bundle your error message, relevant source files, and setup instructions into a single request using specific file globs for the AI model to analyze.

Can I use this with both API and browser engines for AI processing?▼

Yes, you can use this with both API and browser engines, as it supports multiple engine types for processing bundled prompts and file context to generate AI responses.

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